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Proceedings Paper

MPV-II: an enhanced vector man-portable EMI sensor for UXO identification
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Paper Abstract

The Man-Portable Vector (MPV) electromagnetic induction sensor has proved its worth and flexibility as a tool for identification and discrimination of unexploded ordnance (UXO). TheMPV allows remediation work in treed and rough terrains where other instruments cannot be deployed; it can work in survey mode and in a static mode for close interrogation of anomalies. By measuring the three components of the secondary field at five different locations, the MPV provides diverse time-domain data of high quality. TheMPV is currently being upgraded, streamlined, and enhanced to make it more practical and serviceable. The new sensor, dubbedMPV-II, has a smaller head and lighter components for better portability. The original laser positioning system has been replaced with one that uses the transmitter coil as a beacon. The receivers have been placed in a configuration that permits experimental computation of field gradients. In this work, after introducing the new sensor, we present the results of several identification/discrimination experiments using data provided by the MPV-II and digested using a fast and accurate new implementation of the dipole model. The model performs a nonlinear search for the location of a responding target, at each step carrying out a simultaneous linear least-squares inversion for the principal polarizabilities at all time gates and for the orientation of the target. We find that the MPV-II can identify standard-issue UXO, even in cases where there are two targets in its field of view, and can discriminate them from clutter.

Paper Details

Date Published: 23 May 2011
PDF: 10 pages
Proc. SPIE 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI, 801707 (23 May 2011); doi: 10.1117/12.884085
Show Author Affiliations
Juan Pablo Fernández, Consultant (United States)
Benjamin Barrowes, Thayer School of Engineering, Dartmouth College (United States)
U.S. Army Cold Regions Research and Engineering Lab. (United States)
Alex Bijamov, Thayer School of Engineering, Dartmouth College (United States)
Tomasz Grzegorczyk, Delpsi, LLC (United States)
Nicolas Lhomme, Sky Research, Inc. (Canada)
Kevin O'Neill, Thayer School of Engineering, Dartmouth College (United States)
U.S. Army Cold Regions Research and Engineering Lab. (United States)
Irma Shamatava, Thayer School of Engineering, Dartmouth College (United States)
Sky Research, Inc. (United States)
Fridon Shubitidze, Thayer School of Engineering, Dartmouth College (United States)
Sky Research, Inc. (United States)


Published in SPIE Proceedings Vol. 8017:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI
Russell S. Harmon; John H. Holloway; J. Thomas Broach, Editor(s)

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